Voice-activated energy management system

ABSTRACT

A method for responding to a voice activated request includes receiving a speech input request from a smart speaker requesting energy management data associated with energy consumption at a premises of the smart speaker. The method also includes generating a voice service request including a first query for a first data source. The first query includes a request for the energy management data. Additionally, the method includes communicating the first query to the first data source and receiving a first response to the first query from the first data source. Further, the method includes generating an audible speech output in response to the speech input request based on the first response to the first query and transmitting the audible speech output to the smart speaker. The smart speaker audibly transmits the audible speech output.

CROSS-REFERENCE TO RELATED APPLICATION

This disclosure claims priority to U.S. Provisional Application No.62/554,734, entitled “Voice-Activated Energy Management System,” filedSep. 6, 2017, the entirety of which is hereby incorporated by referenceherein.

TECHNICAL FIELD

This disclosure relates generally to apparatuses and processes forvoice-activated management of resource consumption. More particularlythis disclosure relates to using voice controls to obtain informationassociated with energy consumption and to manage energy consumption,including managing payment for energy consumption.

BACKGROUND

Networks, such as power, gas, and water distribution systems, are usedto deliver resources from sources (e.g., power stations, gas gatestations, water storage tanks, and other utility providers) through anetwork of delivery infrastructure to load devices located in dwellings,businesses, or other premises containing load devices. When the loaddevices consume the resources, metering devices associated with thepremises track the consumption.

While the metering devices accurately track resource consumption,utility consumers are typically unable to easily obtain currentinformation about the resource consumption. As an example, informationabout resource consumption may be available to the utility consumers ona time delay. Such a time delay may be associated with receiving autility bill at the end of the month. Further, accessing the availableresource consumption information involves accessing a web portal on acomputer device or waiting to receive paper or electronic communicationsfrom a utility provider. Thus, accessing resource consumptioninformation and managing costs associated with resource consumption areinhibited by incomplete and untimely data provided by the utilityproviders.

SUMMARY

Aspects and examples are disclosed for apparatuses and process forvoice-activated management of resource consumption. For instance, amethod for responding to a voice activated request includes receiving aspeech input request from a smart speaker requesting energy managementdata associated with energy consumption at a premises of the smartspeaker. The method also includes generating a voice service request.The voice service request includes a first query for a first datasource, where the first query includes a request for the energymanagement data. Additionally, the method includes communicating thefirst query to the first data source and receiving a first response tothe first query from the first data source. Further, the method includesgenerating an audible speech output in response to the speech inputrequest based on the first response to the first query and transmittingthe audible speech output to the smart speaker capable of audiblytransmitting the audible speech output.

In an additional example, a device located at a consumption premisesincludes a meter. The meter includes a metrology module to measureconsumption of a resource, a memory to store data associated with themetrology module, and a communications module to communicate with otherdevices and with a head end system in a metering device network using afirst networking protocol. The meter also includes a processing unitthat communicates with a voice service using a second networkingprotocol, where the meter and the processing unit are connected using alink internal to the device.

In an additional example, a method for responding to a voice activatedrequest includes receiving a speech input request from a smart speaker.The method also includes generating a voice service request based on thespeech input request. The voice service request includes a query for anenergy consumption data source. Additionally, the method includescommunicating the query to the energy consumption data source andreceiving a response to the query from the energy consumption datasource. Further, the method includes generating an audible speech outputin response to the speech input request based on the response to thequery and transmitting the audible speech output to the smart speaker toaudibly transmit the audible speech output

These illustrative aspects and features are mentioned not to limit ordefine the invention, but to provide examples to aid understanding ofthe inventive concepts disclosed in this application. Other aspects,advantages, and features of the present invention will become apparentafter review of the entire application.

BRIEF DESCRIPTION OF THE FIGURES

These and other features, aspects, and advantages of the presentdisclosure are better understood when the following Detailed Descriptionis read with reference to the accompanying drawings.

FIG. 1 is a block diagram illustrating an example of a data flow forvoice-activated querying of resource consumption information, inaccordance with one or more examples.

FIG. 2 is a block diagram illustrating an example of a data flow forvoice-activated querying of a metering device and a head end of aresource consumption system, in accordance with one or more examples.

FIG. 3 is a block diagram illustrating an example of a data flow forvoice-activated utility payment system, in accordance with one or moreexamples.

FIG. 4 depicts a block diagram illustrating an example of an endpoint ina utility network, in accordance with one or more examples.

FIG. 5 is a flow chart of a process for receiving metrology data from ametering device in response to a voice-activated request, in accordancewith one or more examples.

FIG. 6 is a flow chart of a process for communicating with a metrologymodule and a head end system in response to a voice-activated requestreceived by a metering device, in accordance with one or more examples.

DETAILED DESCRIPTION

Systems and methods are provided for voice-activated management ofresource consumption. For example, within a utility distributionnetwork, a device, which may include metrology components, communicationcomponents, a processing unit, etc., is located at a consumptionpremises. The consumption premises may be a home or business locationthat includes utility consuming devices. The device may include a meter,which itself may include a metrology module used to measure consumptionof a resource at the consumption premises. The meter may also include acommunications module that wirelessly communicates with other devices ina wireless mesh network and with a head end system using a firstnetworking protocol.

To initiate a voice-activated request from a user communicating with thedevice, the device may also include a processing unit. In one or moreexamples, the meter and the processing unit are connected using a linkinternal to the device. The processing unit processes communicationssignals received from a voice service. The voice service receivesvoice-activated requests from a smart speaker associated with thedevice, processes the requests into commands understandable by thedevice, and provides the requests to the device for processing by theprocessing unit. Other devices and systems may also interact with thevoice service to provide energy management data to the voice service.For example, the other devices and systems may include payment serviceplatforms, appliance vendor platforms, internet of things (IoT) devices,a utility provider, or any other source of energy management data thatis capable of communicating with the voice service.

Certain aspects described herein are applied to the management ofresource consumption and thereby improve user control over resourceconsumption and user access to utility data. In particular, certainvoice-activated management systems and methods described herein improveexisting access to utility data by a consumer. For example, existingsystems lack the capability of providing consumers with real-time ornear real-time data regarding the consumption of a resource at apremises, or the capability of providing consumers with data that isactual usage or consumption data and not simply an estimate of the usageor consumption. However, certain implementations described hereinprovide a specific process that provides the consumer with access toresource consumption data, which is the same resource consumption dataused by the utility when generating a utility bill. Thus, in contrast toconventional systems relating to resource consumption management, avoice-activated management system that uses a voice-activated request toreceive resource consumption data from a meter or other energymanagement data from other resources can more effectively manageresource consumption based on enhanced completeness and timeliness ofthe resource consumption data.

FIG. 1 is a block diagram illustrating an example of a voice-activatedmanagement system 100. The voice-activated management system 100provides an example of a data flow for voice-activated querying ofresource consumption information. As illustrated, the system 100includes a metering device 102, which is used to track consumption of aresource at a location associated with the metering device 102 (e.g., ametering device node coupled to a wireless mesh network and a gridnetwork). While only a single metering device 102 is depicted,additional metering devices 102 are also contemplated within the system100. For example, a premises may include multiple metering devices 102servicing different portions of the premises. Additionally, multiplemetering devices 102 located at several different premises may beassociated with a single utility payor. Further, a network of Internetof Things (IoT) devices 104 may include metering devices 102 or otherIoT devices with access to the system 100. The consumption of a resourcethat is tracked by the metering device 102 may include electricity, gas,water, or any other consumable that is capable of being tracked by themetering device 102. Resource consumption, or information relating toresource consumption, may also be provided from payment servicescompanies 106 (e.g., banks), communication platforms of appliancevendors 108 (e.g., communication platforms for HVAC vendors, householdappliance vendors, etc.), and the utility providers 110.

In an example, the payment service companies 106 may provide informationrelating to payments from a consumer to resource providers associatedwith resource consumption of the consumer. The communication platformsof the appliance vendors 108 may provide a user with platforms tocommunicate with appliances manufactured or distributed by the appliancevendors. For example, each appliance vendor may have a communicationscheme or security protocol that is different from other appliancevendors. Thus, the communication platforms of the appliance vendors 108may provide users with the communication scheme and security protocolsthat enable communication with appliances to receive data associatedwith how the appliances consume a resource. Further, the utilityproviders 110 may provide information directly related to overallresource consumption at a location. The information from the utilityproviders 110 may be accessed through a meter data management system112, a head end system 114, or any other data storage 116 associatedwith the utility providers 110.

To receive resource consumption data from the metering device 102 orother data relating to resource consumption, a smart speaker 118 mayreceive a voice input 120 from a consumer. The smart speaker 118 may beany speaker connected to the internet that is capable of receivingspeech data (e.g., the voice input 120) from a consumer. In this manner,the smart speaker 118 provides a voice-activated user interface for theconsumer. In one or more examples, the smart speaker 118 may include ahands-free speaker such as Amazon Echo® by Amazon Technologies, Inc. orGoogle Home™ by Google LLC. In a another example, any other device witha voice interface may be used in addition to or in place of the smartspeaker 118. For example, a cell phone or any other device that includesspeech recognition support (e.g., support from a voice service 122, asdiscussed below) and is capable of connecting to the internet andreceiving speech data may be used in in addition to or in place of thesmart speaker 118. Further, while the discussion below generallyreferences the smart speaker 118, other devices capable of replacing thesmart speaker 118 may perform similar functions to those of the smartspeaker 118 described in detail below. Collectively, any devicesinteracting using voice communication with the voice service 122 toreceive information from the metering device 102, the IoT devices 104,the payment services companies 106, the communication platforms ofappliance vendors 108, and the utility providers 110 may be described asthe smart speaker 118.

When the smart speaker 118 receives the voice input 120, the smartspeaker 118 provides the voice input 120 to the voice service 122. Inone or more examples, the voice input 120 is a vocal request forresource consumption information, and the resource consumptioninformation may be received from any combination of the metering device102, the utility providers 110, or any other available data source. Thevoice input 120 may also be a vocal request for utility accountinformation from the metering device 102 or the utility providers 110.The smart speaker 118 may be associated with the specific meteringdevice 102 based on a utility account associated with both the smartspeaker 118 and the metering device 102 (e.g., from the utilityproviders 110), or the smart speaker 118 may be directly associated withthe metering device 102 using a unique identification number or code ofthe metering device 102. The resource consumption information mayinclude resource consumption for the current billing period, historicalresource consumption data, resource consumption trends, average resourceconsumption for appliances located within the house, any additionalresource consumption information stored by the utility providers 110,any additional resource consumption or management information accessibleby the metering device 102, the IoT devices 104, the payment servicescompanies 106, or the communication platforms of appliance vendors 108,or any combination thereof. The utility account information, which maybe located at the utility providers 110, the metering device 102, orboth, may include a pre-paid balance of the account, the currentresource consumption billing rate associated with the account, the monthto date (or other time period to date) charges accrued based onconsumption, any additional account information, or any combinationthereof.

In some examples, the voice service 122 is a voice platform thatprocesses voice commands and performs actions to support the voicecommands, including communicating with external systems (e.g., themetering device 102, the IoT devices 104, the payment services companies106, the communication platforms of appliance vendors 108, the utilityproviders 110, or any combination thereof). In such an example, thevoice service 122 receives the voice input 120 from the smart speaker118 and processes the voice input 120 to characterize the request of theconsumer as a specific processing task. For example, the voice service122 may convert the voice input 120 from audio data into textrepresentations of the audio data or into specific computer-readabletasks that are mapped to the audio data.

To accomplish processing of the voice input 120, the voice service 122may include a computing component. The computing component, for example,may be an event-driven, serverless computing platform. The computingcomponent may execute lines of code in response to tasks received oridentified by the voice service 122. When the tasks are received by thecomputing component, the computing component may assign computingresources to accomplish the tasks identified by the voice service 122from the voice input 120. In one or more examples, the voice service 122performs a speech-to-text operation on the voice input 120 and providestext data associated with the voice input 120 to the computingcomponent. In such an example, the computing component matches the textdata associated with the voice input 120 to a register of known requeststo determine a specific task that the computing component is instructedto accomplish by the voice input 120.

In one or more examples, the computing component of the voice service122 receives the text data associated with the voice input 120 anddetermines that the text data is requesting consumption data recorded bythe metering device 102 for the current month and a cost associated withthe consumption data. The voice service 122 may then generate a computertask to request consumption data from the metering device 102 or theutility provider 110. For example, the computer task may instruct themetering device 102 or the utility provider 110 to provide specificinformation to the voice service 122 (e.g., resource consumption data,resource consumption cost, etc.), or the computer task may instruct themetering device 102 or the utility provider 110 to provide a completeresponse to the voice input 120 (e.g., “you have consumed 600 kilowatthours so far this month” or “your current bill for this month is fiftydollars”). Thus, compilation of the complete response may be provided ateither the voice service 122 or the data sources (i.e., the meteringdevice 102 or the utility provider 110) depending on processingcapabilities of the data sources and what data is available to the datasource.

The computer task generated by the voice service 122 may be directed bythe voice service 122 to a processor 124 located within or associatedwith the metering device 102. In another example, the voice service 122may direct the task to the utility provider 110 to receive theconsumption data stored at the utility provider 110. While the aboveexample describes a request for consumption data recorded by themetering device 102 or the utility provider 110, other types of data mayalso be requested from the metering device 102, the utility provider110, or any other data source with which the voice service 122 iscapable of communicating. For example, the metering device 102 mayrecord and provide an indication of an instant power, a temperature ofthe metering device 102, or any other type of data that is recorded bythe metering device 102.

The processor 124 may receive the task, parse the task, and query themetering device 102 for the requested information. The metering device102 may maintain the requested information available locally (e.g., thecurrent resource consumption amount), or, in an example, the meteringdevice 102 may query a head end system 114 associated with the meteringdevice 102 to obtain information relating to the task received by themetering device 102. In other examples, the voice service 122 maygenerate multiple tasks based on the voice input 120. In such examples,the voice service 122 may parse the voice input 120 and determine whichdata source should be queried to obtain the information requested by thevoice input 120. For example, if the voice input 120 requests amonth-to-date update on billing, the voice service 122 may generate atask sent to the metering device 102 requesting total month-to-dateenergy consumption, and the voice service 122 may generate an additionaltask sent to the utility provider 110 requesting a price per unit of theenergy consumption. Once responses are received from the metering device102 and the utility provider 110, the voice service 122 may multiply thetotal month-to-date energy consumption by the price per unit of theenergy consumption to generate a month-to-date bill update (i.e., a costof energy already consumed in the current billing period).

In an example, the voice service 122 may provide a single task based onthe voice input 120 and provide the single task to the metering device102 or the utility provider 110. If the metering device 102 or theutility provider 110 has enough information available locally to respondto the single task, the metering device 102 or the utility provider 110may, for example, calculate the total month-to-date bill update andprovide that information to the voice service 122. If the meteringdevice 102 or the utility provider 110 does not have enough informationavailable locally for the response, the metering device 102 or theutility provider 110 may request the information from other data sourcesor inform the voice service 122 that additional data is requested fromanother data source.

In one or more examples, the utility provider 110 may receive a taskfrom the voice service 122 to provide energy management data to thevoice service 122. The energy management data may be associated with apremises of the smart speaker 118. Because the communication network(e.g., a wireless mesh network), across which the metering device 102communicates metrology data (e.g., resource consumption information fora time period, an indication of an instant power consumption rate, atemperature of the metering device 102, or any other type of data thatis recorded by the metering device 102), may be lossy in nature, themetrology data stored at the utility provider 110 may be stale due tothe loss of updates from the metering device 102 over the communicationnetwork. If the utility provider 110 determines that the metrology datais too old to provide accurate energy management data to the voiceservice 122, the utility provider 110 may transmit a request to themetering device 102 for a metrology data update. Upon receiving updatedmetrology data from the metering device 102, the utility provider 110may provide a response to the voice service 122.

The communication between the voice service 122 and the metering device102 may be different from the communication between the voice service122 and the utility provider 110 or other data source. Additionally,communication between the metering device 102 and the head end system114 may be also be performed using a different communication protocolfrom the other types of communication. For example, the voice service122 may communicate with the utility provider 110 or other remote datasources using a Hypertext Transfer Protocol Secure (HTTPS) protocol overa wired or WiFi network. Further, the voice service 122 may communicatewith the metering device 102 or other data sources local to the smartspeaker 118 using a ZigBee communication protocol or other form ofwireless communication protocol. Additionally, the communication betweenthe metering device 102 and the head end system 114 may communicateacross a wireless mesh network using radio frequency (RF) time slottedchannel hopping (TSCH) protocol or a cellular protocol. In one or moreexamples, upon receipt of the communication from the metering device 102by a collector en route to the head end system 114, the communicationprotocol may change resulting in the use of multiple communicationprotocols between the metering device 102 and the head end system 114.Other networking protocols are also contemplated within the scope of thepresent disclosure for communication between the voice service 122 andavailable data sources (e.g., the metering device 102, the IoT devices104, the payment service companies 106, the communication platforms ofappliance vendors 108, the utility providers 110, or any other datasources), as well as between the metering device 102 and the head endsystem 114.

Additionally or alternatively, if the requested information is availablein the MDMS 112, the head end system 114, or the data storage 116 of theutility provider 110, the voice service 122 may provide the taskdirectly to the utility provider 110 requesting the information. Such adirect request may include providing the head end system 114 with accesscredentials and information for the account associated with the meteringdevice 102. A communication path between the computing service 204 andthe head end system 114 may be accomplished across the internet. Theresponse from the head end system 114 may include the requestedinformation relating to the metering device 102 (e.g., historicconsumption).

As used herein, the term “head end system” (e.g., the head end system114) may refer to a system of hardware and software that receives astream of meter data from the metering device 102. The head end system114 also has access to consumer account information with the utilityprovider 110. Accordingly, when the voice service 122 or the meteringdevice 102 requests the account information from the head end system114, the head end system 114 is able to transfer the account information(e.g., resource consumption billing rate) back to the voice service 122or the metering device 102.

When the requested information from the metering device 102, the IoTdevices 104, the payment services companies 106, the communicationplatforms of appliance vendors 108, the utility provider 110, or anycombination thereof is received at the voice service 122, the receivedinformation is used to prepare a response to the original request fromthe voice input 120. For example, if the original request was for thecurrent balance on a utility bill, the voice service 122 multipliescurrent resource consumption received from the metering device 102 orthe utility provider 110 by the current resource consumption billingrate received directly from the utility provider 110 (e.g., via the MDMS112, the head end system 114, or any other data storage 116 associatedwith the utility providers 110) or from the head end system 114 throughthe metering device 102. The metering device 102 may, for example,determine the current resource consumption by tracking resourceconsumption since completion of a prior billing cycle. In anotherexample, the current resource consumption may be obtained by the voiceservice 122 directly from the head end system 114. Once the response isgenerated in text form by the voice service 122 (e.g., “Your currentbalance for the month is $43.38”), the voice service 122 performs atext-to-speech operation and streams the resulting audio data to thesmart speaker 118 for transmission from the smart speaker 118 as speechoutput 126.

While the discussion of FIG. 1 generally describes a request for acurrent balance associated with resource consumption, other requests arealso contemplated within the scope of the present disclosure. Forexample, a consumer may have a prepaid utility account. In such anaccount, the consumer may request a real-time indication of how muchmoney remains in a prepaid balance. The process would be similar to thedata flow of FIG. 1 except the account information provided by the headend system 114 would include a remaining prepaid balance for theconsumer. Other requests may include a request to pay a specified amountof money toward a utility bill, a request for an indication of totalenergy usage, a request for an indication of energy usage over aspecified period of time, a request for energy saving techniques, arequest to shut-down non-essential energy consumption devices whenleaving the house (e.g., turning lights off, adjusting a thermostattemperature, etc.), a request for a pre-paid account balance and anindication of when the pre-paid account balance is expected to run out,a request for notifications from the utility provider 110, or any otherrequests associated with energy usage. In response to the requests, thevoice service 122 queries the appropriate sources of data and respondswith the speech output 126 that provides an appropriate response to theconsumer.

In one or more examples, the voice service 122 may also include anextrapolation component. The extrapolation component may provideadditional useful information to the user associated with the requestprovided by the voice input 120. For example, a consumer may request anindication of a pre-paid account balance. In response, the voice service122 may provide the pre-paid account balance as the speech output 126,and the voice service 122 may also provide the consumer with anindication of when the pre-paid account balance will run out based on acurrent rate of consumption. The extrapolation component may alsoprovide other forms of extrapolated information to a consumer based onthe specific request of the consumer.

In one or more examples, the consumer discussed above with respect toFIG. 1 may also be a prosumer. That is, the consumer may both consumethe resource and generate and provide the resource to a resourcenetwork. For example, the consumer's premises may include a windturbine, an array of solar cells, or any other energy producing device.In such an example, any energy produced by the energy producing devicein excess of the needs of the consumer may be provided back to theenergy grid. The energy provided back to the utility may provide theconsumer with a credit offset as payment for the energy that theconsumer provides to the energy grid. When the consumer asks the smartspeaker 118 for information about resource consumption, the meteringdevice 102 and/or the head end system 114 may provide the consumer withinformation regarding energy bought back by the utility and how theenergy buy back affects the consumer's power bill.

In an example, the utility provider 110, or other entity incommunication with the voice service 122, may push notifications to thesmart speaker 118. For example, a user may initialize a request usingthe smart speaker 118 for a notification of when a specified energyconsumption threshold is reached for the month. In response, the utilityprovider 110, or other entity with access to the energy consumptiondata, may push a notification, using the voice service 122, to the smartspeaker 118 when the energy consumption threshold is reached. In anexample, the pushed notification may be repeated at regular intervalsuntil the notification is verbally acknowledged by the user as a voiceinput 120. Other notifications associated with energy management datamay be initialized by a user and pushed to the smart speaker 118 in asimilar manner.

FIG. 2 is a block diagram illustrating an example of a voice-activatedmanagement system 200. The voice-activated management system 200 mayprovide details of a specific task contemplated by the voice-activatedmanagement system 100, described above with respect to FIG. 1, toprovide a utility consumer with access to real-time resource consumptioninformation from the consumer's metering device 102 or the head endsystem 114 of the utility provider 110. As illustrated, the system 200includes the metering device 102, which is used to track consumption ofa resource at a location associated with the metering device 102 (e.g.,a metering device node of a wireless mesh network). While only thesingle metering device 102 is depicted, additional metering devices 102are also contemplated within the system 200. For example, a premises mayinclude multiple metering devices 102 servicing different portions ofthe premises. Additionally, multiple metering devices 102 located atseveral different premises may be associated with a single utilityaccount. The consumption of a resource that is tracked by the meteringdevice 102 may include electricity, gas, water, or any other consumablethat is capable of being tracked by the metering device 102.

To receive resource consumption data from the metering device 102, thesmart speaker 118 receives a voice input 120 from a consumer. When thesmart speaker 118 receives the voice input 120, the smart speaker 118provides the voice input 120 to a speech recognition interface 202 ofthe voice service 122. In one or more examples, the voice input 120 is avocal request for resource consumption information from the meteringdevice 102 or the head end system 114 and/or a vocal request for utilityaccount information from the metering device 102 or the head end system114. The smart speaker 118 may be associated with the specific meteringdevice 102 based on a utility account associated with both the smartspeaker 118 and the metering device 102, or the smart speaker 118 may bedirectly associated with the metering device 102 using a uniqueidentification number or code of the metering device 102. The resourceconsumption information may include resource consumption for the currentbilling period, historical resource consumption data, resourceconsumption trends, any additional resource consumption informationstored at a head end system 114, any additional resource consumptioninformation accessible by the metering device 102, or any combinationthereof. The utility account information, which may be located at thehead end system 114, the metering device 102, or both, may include apre-paid balance of the account, the current resource consumptionbilling rate associated with the account, the month to date (or othertime period to date) charges accrued based on consumption, analyticsdata such as consumption forecasting information based on historicaldata, any additional account information, or any combination thereof.

In some examples, the speech recognition interface 202 is a voiceplatform that processes voice commands and performs actions to supportthe voice commands, including communicating with external systems. Insuch an example, the speech recognition interface 202 receives the voiceinput 120 from the smart speaker 118 and processes the voice input 120to characterize the request of the consumer as a specific processingtask. For example, the speech recognition interface 202 converts thevoice input 120 from audio data into text representations of the audiodata.

To accomplish processing of the voice input 120, the voice service 122may also include a computing service 204. The computing service 204, forexample, may be an event-driven, serverless computing platform. Thecomputing service 204 executes lines of code in response to tasksreceived or identified by the speech recognition interface 202. When thetasks are received by the computing service 204, the computing service204 assigns computing resources to accomplish the tasks identified bythe speech recognition interface 202. In one or more examples, thespeech recognition interface 202 performs a speech-to-text operation onthe voice input 120 and provides text data associated with the voiceinput 120 to the computing service 204. In such an example, thecomputing service 204 matches the text data associated with the voiceinput 120 to a register of known requests to determine a specific taskthat the computing service 204 is instructed to accomplish by the voiceinput 120. Other methods of mapping the text data to specific tasks bythe computing service 204 are also contemplated.

In one or more examples, the computing service 204 receives the textdata associated with the voice input 120 and determines that the textdata is requesting consumption data recorded by the metering device 102for the current month and a cost associated with the consumption data.The computing service 204 may then make a voice service request to anoptional public, static proxy server 206. The optional proxy server 206may be used to redirect the voice service request to the processor 124located within or associated with the metering device 102 when an IPaddress for the processor 124 is dynamic and/or the processor 124 isbehind a firewall that blocks incoming web based requests directly fromthe computing service 204. When the IP address is not dynamic and theprocessor 124 is not behind a firewall, the computing service 204 maycommunicate directly with the processor 124 without communicatingthrough the optional proxy server 206. The voice service requests fromthe computing service 204 may also be referred to as textrepresentations of the voice input 120 received by the smart speaker118. For example, the voice service requests may be computing commandsor tasks for the processor 124 to execute upon receipt. While the aboveexample describes a request for consumption data recorded by themetering device 102, other types of data may also be requested. Forexample, the metering device 102 may record and provide an indication ofan instant power consumption value, a temperature of the metering device102, or any other type of data that is recorded by the metering device102.

The processor 124 receives the voice service request from the optionalproxy server 206 or directly from the voice service 122, parses thevoice service request, and queries the metering device 102, the head endsystem 114, or both for the requested information. The metering device102 either maintains the requested information available locally (e.g.,the current resource consumption amount) or the metering device 102 mayquery the head end system 114 of a mesh network of utility meters.Additionally or alternatively, if the requested information is availablein the head end system 114, the computing service 204 may generate therequest command directly to the head end system 114. Such a directrequest may include providing the head end system 114 with accesscredentials and information for the account associated with the meteringdevice. A communication path between the computing service 204 and thehead end system 114 may be accomplished across the internet. Theresponse from the head end system 114 may include the requestedinformation relating to the metering device 102 (e.g., historicconsumption). Further, in an example using the optional proxy server206, the communication between the optional proxy server 206 and theprocessor 124 may use Hypertext Transfer Protocol Secure (HTTPS) over aWiFi network. Other networking protocols are also contemplated withinthe scope of the present disclosure for both the communication betweenthe metering device 102 and the head end system 114 and thecommunication between the optional proxy server 206 and the processor124.

As used herein, the term “head end” (e.g., the head end system 114) mayrefer to a system of hardware and software that receives a stream ofmeter data from the metering device 102. The head end system 114 alsohas access to consumer account information with the utility.Accordingly, should the metering device 102 request the accountinformation from the head end system 114, the head end system 114 isable to transfer the account information (e.g., resource consumptionbilling rate) back to the metering device 102. Thus, the metering device102 is able to provide the account information and/or resourceconsumption information to the optional proxy server 206 or directly tothe voice service 122.

At the computing service 204, the information received from the meteringdevice 102, directly from the head end system 114, or both is used toprepare a response to the original request. For example, if the originalrequest was for the current balance on a utility bill, the computingservice 204 multiplies current resource consumption received from themetering device 102 or the head end system 114 by the current resourceconsumption billing rate received directly from the head end system 114or from the head end system 114 through the metering device 102. Themetering device 102 may, for example, determine the current resourceconsumption by tracking resource consumption since completion of a priorbilling cycle. In another example, the current resource consumptionbalance may be obtained by the computing service 204 directly from thehead end system 114. Once the response is generated in text form by thecomputing service 204 (e.g., “Your current balance for the month is$43.38”), the speech recognition interface 202 performs a text-to-speechoperation and streams the resulting audio data to the smart speaker 118for transmission from the smart speaker 118 as the speech output 126. Inanother example, the processor 124 may prepare the response to theoriginal request, and the computing service 204 may receive the responsefrom the processor 124 and transmit the response to the speechrecognition interface 202.

FIG. 3 is a block diagram illustrating an example of a data flow for avoice-activated utility payment system 200. Similar to thevoice-activated management system 100 described above with respect toFIG. 1, the voice-activated utility payment system 200 uses the voiceinput 120 of a resource consumer at the smart speaker 118 to initiatepayment of a utility bill from a bank 302 to a utility/energy provider204.

When the smart speaker 118 receives the voice input 120, the smartspeaker 118 provides the voice input 120 to the speech recognitioninterface 202. In one or more examples, the voice input 120 is a vocalrequest to initiate payment to the utility provider 110. For example,when the consumer receives the speech output 126 of FIG. 1 indicatingthat the consumer owes a specified amount of money for resourceconsumption, the consumer provides the vocal request to the smartspeaker 118 to pay the money owed to the utility provider 110. Inanother example, the consumer may receive an indication from the speechoutput 126 that a prepaid utility balance is approaching zero aftersubmitting a vocal request to determine the current prepaid utilitybalance associated with the consumer's account. In such an example, theconsumer may add funds to the prepaid balance by providing a vocalrequest to add funds as the voice input 120. Other types of paymentrequests in the form of the voice input 120 to the smart speaker 118 arealso contemplated within the scope of the present disclosure.

The speech recognition interface 202, or generally the voice service122, receives the voice input 120 from the smart speaker 118, andprocesses the voice input 120 to characterize the request of theconsumer as a specific processing task. For example, the speechrecognition interface 202 converts the voice input 120 from audio datainto text representations of the audio data. To finalize processing ofthe voice input 120, the speech recognition interface 202 interacts withthe computing service 204. The computing service 204, for example, maybe an event-driven, serverless computing platform.

The computing service 204, or generally the voice service 122, executeslines of code in response to tasks received or identified by the speechrecognition interface 202. When the tasks are received by the computingservice 204, the computing service 204 assigns computing resources toaccomplish the tasks identified by the speech recognition interface 202.In one or more examples, the speech recognition interface 202 performs aspeech-to-text operation on the voice input 120 and provides text dataassociated with the voice input 120 to the computing service 204. Insuch an example, the computing service 204 matches the text dataassociated with the voice input 120 to a register of known requests todetermine a specific task that the computing service 204 is instructedto accomplish by the voice input 120. In an example, the specific taskis to pay the utility provider 110 an outstanding balance associatedwith the consumer's resource consumption. In an additional example, thespecific task is to provide additional funds to a prepaid utilityaccount associated with the consumer in response to an indication that abalance of the prepaid account is depleted.

In one or more examples, the computing service 204 receives the textdata associated with the voice input 120 and determines that the textdata is requesting payment to the utility provider 110. The computingservice 204 then performs a voice service request to a bank 302requesting the transfer of funds from a bank account of the consumer toa bank account associated with the utility provider 110. In anotherexample, the computing service 204 communicates with a credit cardissuer (e.g., a payment services company 106) with which the consumerhas an account to provide funds to a bank account associated with theutility provider 110. Additional examples include the computing service204 communicating with a cryptocurrency blockchain to transfercryptocurrency owned by the consumer to the utility provider 110 inexchange for resource consumption, or to sell the cryptocurrency andtransfer the proceeds to the utility provider 110 in exchange for theresource consumption. In any example, the utility provider 110 is ableto recover payment from the bank 302, the payment services company 106,or a cryptocurrency blockchain in exchange for providing resourceconsumables to the consumer. In an example, the voice service 122 mayinclude an initialization process that securely links the smart speaker118 with the bank 302 (e.g., using a bank account of the payor), thepayment services company 106 (e.g., using a credit card accountassociated with the payor), or a cryptocurrency management company(e.g., using a cryptocurrency wallet file). The initialization processof payment options may occur as a default step associated with linkingthe smart speaker 118 to a utility account of the utility provider 110.

Upon receiving payment, the utility provider 110 may provide a paymentreceived message to the computing service 204. At the computing service204, the payment received message from the utility provider 110 is usedto prepare a response to the original payment request. Once the responseis generated in text form by the computing service 204 (e.g., “Yourpayment was received by your utility provider”), the speech recognitioninterface 202 performs a text-to-speech operation and provides theresulting audio data to the smart speaker 118 for transmission from thesmart speaker 118 as the speech output 126.

In addition to integration with the utility payment system 300, thevoice-activated management system 100 may also be integrated with homeenergy management devices. For example, the smart speaker 118 maycommunicate with smart thermostats associated with HVAC systemsconnected to the metering device 102, load control devices associatedwith other loads connected to the metering device 102, or other energymanagement devices to control the loads connected to the metering device102 based on the real-time information received from the metering device102. Communication from the smart speaker 118 to the home energymanagement devices may be accomplished when the computing service 204generates appropriate commands and controls based on the voice inputreceived at the smart speaker 118, and the computing service 204provides the commands and controls to the home energy management devicesusing specific communication protocols of those devices. In controllingthe loads based on the real-time information, the voice-activatedmanagement system 100 may avoid unexpectedly high utility bills byaddressing the cause of the high utility bill early in a billing cycle(e.g., upon providing metrology data to the requestor).

FIG. 4 is a block diagram illustrating an example of an endpoint (e.g.,the metering device 102) in a utility network. As discussed above withrespect to FIG. 1, the metering device 102 communicatively couplesdirectly to a component of the voice service 122 (e.g., the computingservice 204) or to the voice service 122 through the optional proxyserver 206. The voice service 122 provides a voice service request 402,which is derived from the vocal request received at the smart speaker118, to the processor 124 of the metering device 102. In an example, theprocessor 124 may include a buffer that is used to store the requestreceived from the voice service 122 until the processor 124 is able toprocess the request. The processor 124 may be located within a housingof the metering device 102 or located remote from the metering device102. An IP address for the processor 124 may be dynamic, and theprocessor 124 may register with the optional proxy server 206 uponstartup of the processor 124 or upon any changes to the IP address ofthe processor 124. In other examples, the processor 124 communicatesdirectly with the voice service 122 without the use of the optionalproxy server 206.

The processor 124 receives the voice service request 402 from the voiceservice 122 or the optional proxy server 206, parses the voice servicerequest, and requests information from a metrology module 404 of themetering device 102. In an example, the request from the processor 124to the metrology module 404 passes through an optocoupler 406. Theoptocoupler 406 may be an optical isolator that is able to transfersignals between two isolated circuits. In this manner, the metrologymodule 404 may be protected from, for example, voltage surgesoriginating on the circuit that includes the processor 124. In otherexamples, the processor 124 is in direct communication with themetrology module 404 (e.g., the request does not go through theoptocoupler 406 before being received at the metrology module 404).

The metrology module 404 meters resource consumption at the premisesassociated with the metrology module 404. In an example, the metrologymodule 404 includes a memory component 410 to store information relatingto resource consumption at the premises. For example, the memorycomponent 410 may store a final metering read for a most recent billingcycle such that the metrology module 404 is able to provide real-timeinformation about resource consumption when queried. More robust storageis also contemplated. In one or more examples, the memory component 410may store resource consumption data collected over a period of time(e.g., monthly resource consumption data over the previous year). Thememory component 410 may also maintain resource consumption trends(e.g., resource consumption averages by month) or any other data that aconsumer may request.

When the consumer requests information that is not available using thememory component 410 of the metrology module 404, the metrology module404 may make use of a communications module 412 to query the head endsystem 114 for the additional data. In an example, the communicationsmodule 412 transmits the request from the consumer to a wireless meshnetwork, which is able to recover the information from the head endsystem 114, as discussed above with respect to FIG. 1. Other meteringdevice networks connecting the metering device 102 and the head endsystem 114 other than the wireless mesh network are also contemplated.This additional information not locally available to the metrologymodule 404 may include account information such as current resourceconsumption billing rates, prepaid utility balances, past-due balances,or any other information relating the consumer's utility account thatmay be stored remotely from the metrology module 404. In anotherexample, the metrology module 404 may provide an indication back to thecomputing service 204 indicating the information that is not availablein the memory component 410, and the computing service 204 may query thehead end system 114 directly to receive the information not available inthe memory component 410 of the metrology module 404.

Upon receiving the requested information from the wireless mesh network,the metrology module 404 provides all of the requested information tothe processor 124. The processor 124 outputs the requested informationto the computing service 204. From the computing service 204, therequested information is processed and distributed to the smart speaker118, as described above with respect to FIG. 1.

FIG. 5 is a flow chart of a process 500 for receiving metrology data(e.g., resource consumption information for a time period, an indicationof an instant power consumption rate, a temperature of the meteringdevice 102, or any other type of data that is recorded by the meteringdevice 102) from a meter in response to a voice-activated request. Atblock 502, the process 500 involves receiving, from the smart speaker118, a verbal request for metrology data from a consumer. The smartspeaker 118 provides the verbal request to the speech recognitioninterface 202, which is capable of processing the verbal request intotext using a speech-to-text function.

At block 504, the process 500 involves querying a metering device 102for metrology data. By way of example, the text data generated at thespeech recognition interface 202 is provided to the computing service204, and the computing service sends a request for the metrology data tothe metering device 102. In an example where the metering device 102includes the processor 124 with a dynamic IP address, the computingservice 204 funnels the request through the optional proxy server 206.

At block 506, the process 500 involves receiving the metrology data fromthe metering device 102. Similar to block 504, the metrology data may bereceived at the computing service 204 after the metering device 102provides the metrology data to the optional proxy server 206. In anexample where the metrology data includes a resource consumption billingrate in addition to a meter reading, the computing service 204 maycombine the two values to provide the cost of resource consumption todate. In another example, the processor 124 may combine the two valuesto provide the cost of resource consumption prior to transmitting thedata to the computing service 204. The computing service 204 may alsoperform other actions on the data received from the metering device 102based on the specific information requested by the voice input 120.

At block 508, the process 500 involves providing a verbal indication ofthe metrology data to the requestor as the speech output 126. To providethe verbal indication to the requestor, the speech recognition interface202 converts the textual data received from the computing service 204and/or the processor 124 to an audible representation of the textualdata. For example, the speech recognition interface 202 performs atext-to-speech operation on the data received from the computing service204. The speech recognition interface 202 then provides the audiblerepresentation of the textual data to the smart speaker 118 to providethe speech output 126 to the data requestor (e.g., the resourceconsumer).

While FIG. 5 is described with respect to receiving metrology data,other data may be received from other sources using the same generalprocess 500. For example, the verbal request could be informationrelating to utility provider account balances from the utility providers110, information relating to operation of the IoT devices 104 associatedwith the smart speaker 118, information relating to the payment servicescompanies 106, information from the communication platforms of appliancevendors 108, information from other sources relating to utilityconsumption, or any combination thereof.

FIG. 6 is a flow chart of a process 600 for communicating with themetering module 404 and the head end system 114 of a utility system inresponse to a voice-activated request received by the metering device102. At block 602, the process 600 involves receiving a communicationrequesting billing information at the metering device 102. In one ormore examples, the billing information may include a resourceconsumption cost (e.g., price per kilowatt-hour), historical billingdata, historical consumption information, account information, a prepaidutility balance, or any other data associated with a utility accountthat is not stored locally at the metering device.

At block 604, the process 600 involves communicating a first query forresource consumption to the metrology module 404 of the metering device102. The first query involves a request for data that is stored locallyon the metering device 102. For example, the first query may be arequest for resource consumption data tracked by the metrology module404 of the metering device 102. Other data stored locally at themetering device 102 (e.g., in the memory component 410 of the metrologymodule 404) may also be requested by the first query, such as anindication of an instant power, a temperature of the metering device102, or any other type of data that is recorded by the metering device102.

At block 606, the process 600 involves communicating a second query foraccount information to the head end system 114. The second queryinvolves a request for data that is not stored locally on the meteringdevice 102. For example, the second query may be a request for accountinformation, historical resource usage information, or any other datathat may be stored at the head end system 114. To communicate the secondquery to the head end system 114, the metering device 102 may receive arequest for the information that is not stored locally at the meteringdevice 102, and the metering device 102 may transmit the request to thewireless mesh network and ultimately to the head end system 114. Inanother example, the computing service 204 may provide the second querydirectly to the head end system 114 when the computing service 204determines that the results of the second query are not stored locallyat the metering device 102. The second query may also involve requestsfor information that are stored with other entities to which thecomputing service 204 may have access. For example, the second query maybe a request to turn off one or more IoT devices 104 that are incommunication with the voice service 122.

At block 608, the process 600 involves receiving responses to the firstquery and the second query. The response to the first query may bereceived from the metrology module 404 of the metering device 102. Theresponse to the second query may be received at the voice service 122from the network that provides communication between the voice service122 and the head end system 114 or other data sources, or the responsemay be received at the metering device 102 from the wireless meshnetwork that communicatively couples the metering device 102 to the headend system 114. The computing service 204, or generally the voiceservice 122, may process the responses into a textual representation ofthe data requested by the consumer. In another example, the processor124 may process the responses into the textual representation of thedata requested by the consumer. The textual representation may undergo atext-to-speech operation at the speech recognition interface 202 totransform the textual representation of the data requested by theconsumer into an audible representation of the data.

At block 610, the process 600 involves communicating the billinginformation to the consumer based on the responses to the first queryand the second query. The audible representation of the data is providedto the smart speaker 118, and the smart speaker 118 transmits the datato the consumer as the speech output 126. Upon receiving the speechoutput 126, the consumer is able to request further information aboutthe resource consumption, and the consumer is able to verbally requestpayment to the utility provider 110 based on the received information.

General Considerations

Numerous specific details are set forth herein to provide a thoroughunderstanding of the claimed subject matter. However, those skilled inthe art will understand that the claimed subject matter may be practicedwithout these specific details. In other instances, methods,apparatuses, or systems that would be known by one of ordinary skillhave not been described in detail so as not to obscure claimed subjectmatter.

The features discussed herein are not limited to any particular hardwarearchitecture or configuration. A computing device can include anysuitable arrangement of components that provide a result conditioned onone or more inputs. Suitable computing devices include multipurposemicroprocessor-based computer systems accessing stored software thatprograms or configures the computing system from a general-purposecomputing apparatus to a specialized computing apparatus implementingone or more aspects of the present subject matter. Any suitableprogramming, scripting, or other type of language or combinations oflanguages may be used to implement the teachings contained herein insoftware to be used in programming or configuring a computing device.

Aspects of the methods disclosed herein may be performed in theoperation of such computing devices. The order of the blocks presentedin the examples above can be varied; for example, blocks can bere-ordered, combined, and/or broken into sub-blocks. Certain blocks orprocesses can be performed in parallel.

The use of “adapted to” or “configured to” herein is meant as open andinclusive language that does not foreclose devices adapted to orconfigured to perform additional tasks or steps. Additionally, the useof “based on” is meant to be open and inclusive, in that a process,step, calculation, or other action “based on” one or more recitedconditions or values may, in practice, be based on additional conditionsor values beyond those recited. Headings, lists, and numbering includedherein are for ease of explanation only and are not meant to belimiting.

While the present subject matter has been described in detail withrespect to specific aspects thereof, it will be appreciated that thoseskilled in the art, upon attaining an understanding of the foregoing,may readily produce alterations to, variations of, and equivalents tosuch aspects. Accordingly, it should be understood that the presentdisclosure has been presented for purposes of example rather thanlimitation and does not preclude inclusion of such modifications,variations, and/or additions to the present subject matter as would bereadily apparent to one of ordinary skill in the art.

What is claimed is:
 1. A method for responding to a voice activatedrequest, comprising: receiving, at a speech recognition interface, aspeech input request from a smart speaker requesting energy managementdata associated with energy consumption at a premises of the smartspeaker; generating, by a computing service, a voice service requestcomprising a first query for a metering device, the first querycomprising a request for the energy management data; communicating, bythe computing service, the first query to the metering device;receiving, at the computing service, a first response to the first queryfrom the metering device; generating, by the speech recognitioninterface, an audible speech output in response to the speech inputrequest based on the first response to the first query; generating, bythe computing service, a second query of the voice service request,wherein the second query comprises a request for energy management datafrom a head end system; communicating, by the computing service, thesecond query to the head end system; receiving, at the computingservice, a second response to the second query from the head end system,wherein the head end system requests updated energy management data fromthe metering device upon receiving the second query; and transmitting,by the speech recognition interface, the audible speech output to thesmart speaker, wherein the smart speaker is configured to audiblytransmit the audible speech output, and wherein the audible speechoutput is generated based on the first response and the second response.2. The method of claim 1, wherein the head end system is associated withthe metering device.
 3. The method of claim 1, wherein the head endsystem is associated with a utility provider, and the energy managementdata from the head end system comprises data associated with the energyconsumption at the premises of the smart speaker over a specified timeperiod.
 4. The method of claim 1, wherein generating the audible speechoutput comprises: generating a text representation of the audible speechoutput; and performing a text-to-speech operation on the textrepresentation.
 5. The method of claim 1, wherein generating the voiceservice request comprises: performing a speech-to-text operation on thespeech input request to generate a text representation of the speechinput request; and matching the text representation to a register ofknown requests to determine the voice service request.
 6. The method ofclaim 1, comprising: calculating a utility bill based on resourceconsumption information and account information received from the firstresponse, wherein the audible speech output comprises an audiblerepresentation of the utility bill.
 7. The method of claim 6,comprising: receiving an additional speech input request from the smartspeaker; generating an additional voice service request comprising apayment submission in response to the audible speech output;communicating the payment submission to a payment servicing company;receiving an additional response from the payment servicing companyindicating successful payment of the utility bill; generating anadditional audible speech output in response to the additional speechinput request based on an indication of the successful payment of theutility bill; and transmitting the additional audible speech output tothe smart speaker.
 8. A method for responding to a voice activatedrequest, comprising: receiving, at a speech recognition interface, aspeech input request from a smart speaker; generating, by a computingservice, a voice service request based on the speech input request,wherein the voice service request comprises a query for an energyconsumption data source; communicating, by the computing service, thequery to the energy consumption data source; receiving, at the computingservice, a response to the query from the energy consumption datasource; generating, by the speech recognition interface, an audiblespeech output in response to the speech input request based on theresponse to the query; generating, by the computing service, a secondquery of the voice service request, wherein the second query comprises arequest for energy management data from an energy account data source;communicating, by the computing service, the second query to the energyaccount data source; and receiving, at the computing service, a secondresponse to the second query from the energy account data source,wherein the energy account data source requests updated energymanagement data from the energy consumption data source upon receivingthe second query; and transmitting, by the speech recognition interface,the audible speech output to the smart speaker, wherein the smartspeaker is configured to audibly transmit the audible speech output, andwherein the audible speech output is generated based on the response andthe second response.
 9. The method of claim 8, wherein the energyconsumption data source comprises a metering device, an interne ofthings device, a payment services company, a utility provider, or anycombination thereof.